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Multidimensional polarization dynamics in US election data in the long term (2012–2020) and in the 2020 election cycle

Alejandro Dinkelberg, Caoimhe O'Reilly, Pádraig MacCarron, Paul J. Maher, Michael Quayle
2021 Analyses of Social Issues and Public Policy  
For each, a bipartite projection generates a network where edges represent similarity in responses between dyads. The data provide us with preidentified groups (Republicans and Democrats).  ...  We use them as our network communities and to calculate an edge-based polarization. Results show bifurcation progressively increasing, with a striking increase from 2016 to 2020.  ...  A lower score indicates a higher polarization in the network because there are less bridging edges in relation to the overall number of edges.  ... 
doi:10.1111/asap.12278 fatcat:pcgzihmhc5flrcxnko6tw6mydm

Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model [article]

Xiaojing Zhu, Cantay Caliskan, Dino P. Christenson, Konstantinos Spiliopoulos, Dylan Walker, Eric D. Kolaczyk
2022 arXiv   pre-print
We develop a broadly applicable class of coevolving latent space network with attractors (CLSNA) models, where nodes represent individual social actors assumed to lie in an unknown latent space, edges  ...  Moreover, while positive partisanship is the driving force of interactions across the full periods of study for both the public and Democratic elites, negative partisanship has come to dominate Republican  ...  Polarization & Drawing Edges in Social Media Networks We note in the manuscript and expand here that we recognize that the choice of edge construction can be consequential in studies of polarization.  ... 
arXiv:2109.13129v4 fatcat:j5hszklvirbclf4qmyzukzzxci

Wikipedia Polarization and Its Effects on Navigation Paths

Cristina Menghini, Aris Anagnostopoulos, Eli Upfal
2019 2019 IEEE International Conference on Big Data (Big Data)  
Politics induced network) has an impact on users' navigation paths making them biased toward one of the possible topic perspectives.  ...  Thus, it is crucial to ensure a user to have the same probability of being exposed to knowledge that expresses different viewpoints concerning the given topic.  ...  So, we obtain the topic induced network, a directed graph whose edges represent the possibility, for a reader, to go from one page to the other. A.  ... 
doi:10.1109/bigdata47090.2019.9005566 dblp:conf/bigdataconf/MenghiniAU19 fatcat:7t3chsio6jfnvikcetoc6ivagu

Democratic Governance and International Research Collaboration: A Longitudinal Analysis of the Global Science Network [article]

Travis A. Whetsell
2022 arXiv   pre-print
This study explores country level factors related to the dynamics of the global scientific research collaboration network, focusing on structural associations between democratic governance and the formation  ...  The results suggest positive significant effects of both democratic governance on international research collaboration and homophily between countries with similar levels of democratic governance.  ...  The 'edges' term show the extremely high density in the full network but lowers for higher edge trimming criteria.  ... 
arXiv:2203.01827v3 fatcat:m7hcpsskbzfbznipvxhvbbedqi

Spheres of legislation: polarization and most influential nodes in behavioral context

Andrew C. Phillips, Mohammad T. Irfan, Luca Ostertag-Hill
2021 Computational Social Networks  
AbstractGame-theoretic models of influence in networks often assume the network structure to be static.  ...  First, how do we identify different contexts and learn the corresponding network structures using real-world data? We focus on the U.S.  ...  We are also thankful to the anonymous reviewers of COMPLEX NETWORKS 2019 and the COSN journal for many helpful suggestions.  ... 
doi:10.1186/s40649-021-00091-2 fatcat:cfcwmognpbhjvpmreqnvfe24uu

Analyzing and Visualizing American Congress Polarization and Balance with Signed Networks [article]

Arthur Capozzi and Alfonso Semeraro and Giancarlo Ruffo
2022 arXiv   pre-print
and visual assessment of how arbitrarily small subgraphs (even single nodes) contribute to the overall balance (or unbalance) of the network.  ...  Signed networks and balance theory provide a natural setting for real-world scenarios that show polarization dynamics, positive/negative relationships, and political partisanships.  ...  the rest of the Democratic party.  ... 
arXiv:2209.00676v1 fatcat:bd3fi2yowrbu5bjogjjrki3yze

Identifying opinion-based groups from survey data: a bipartite network approach [article]

Pádraig MacCarron, Paul J. Maher, Michael Quayle
2020 arXiv   pre-print
A survey can be represented by a bipartite network as it has two types of nodes, participants and items in which participants can only interact with items.  ...  We introduce an agreement threshold to take a minimal projection of the participants linked by shared responses in order to identify opinion-based groups.  ...  Acknowledgements We would like to thank James Glesson, David O'Sullivan and Susan Fennell for discussions about the creation of the model.  ... 
arXiv:2012.11392v1 fatcat:ndtboskvufg4niffhlssfctk3y

In This Issue –Technically

2021 IEEE Aerospace and Electronic Systems Magazine  
An advantage of these trajectories is, in addition to the unique identification of the object by an identifier [e.g., ICAO code or MMSI] that can be easily assigned to the generating objects, they contain  ...  Both are cooperative systems and are integrated as the sensor source in surveillance systems.  ...  Bringing the sensed data from the edge of a distributed network to a centralized cloud is often infeasible because of the massive data volume, limited network bandwidth, and real-time application constraints  ... 
doi:10.1109/maes.2021.3085375 fatcat:puq2id25abcgbiqdhojmzqmijy

Network Analysis of Migration Patterns in the United States [chapter]

Travis Goldade, Batyr Charyyev, Mehmet Hadi Gunes
2017 Studies in Computational Intelligence  
This paper attempts to utilize complex network analysis to gain a better understanding of the migration patterns in the US, and how it evolves over the time.  ...  In particular, we analyze migration patterns in the US during differing times of the economic prosperity of the housing boom (i.e., 2004-2007) and the recession (i.e., 2008-2011) through complex network  ...  The network is constructed between counties, where the directed weighted edges represent the population that has migrated from one county to another.  ... 
doi:10.1007/978-3-319-72150-7_62 fatcat:ciea2x7ltffspks7iak6fofvpq

Analysis of diverse regulatory networks in a hierarchical context shows consistent tendencies for collaboration in the middle levels

N. Bhardwaj, K.-K. Yan, M. B. Gerstein
2010 Proceedings of the National Academy of Sciences of the United States of America  
There is, however, one notable difference between networks in different species: The amount of collaborative regulation and democratic character increases markedly with overall genomic complexity. coregulatory  ...  We define quantities for nodes, levels, and entire networks that measure their degree of collaboration and autocratic vs. democratic character.  ...  We thank the anonymous reviewers whose valuable suggestions helped improve the quality of the manuscript.  ... 
doi:10.1073/pnas.0910867107 pmid:20351254 pmcid:PMC2872381 fatcat:7lcwwqtgpvgg3g34u4uovdb7aa

Fast extraction of the backbone of projected bipartite networks to aid community detection

J. Liebig, A. Rao
2016 Europhysics letters  
We show that the edge weights in the one-mode projections are distributed according to a Poisson binomial distribution and that finding the expected weight distribution of a one-mode network projected  ...  This paper introduces a computationally inexpensive method of extracting the backbone of one-mode networks projected from bipartite networks.  ...  Bush over the democratic nominee.  ... 
doi:10.1209/0295-5075/113/28003 fatcat:32brkvkppbhg5pbxkxl3wwgkga

Complex network of United States migration

Batyr Charyyev, Mehmet Hadi Gunes
2019 Computational Social Networks  
Competing interests The authors declare that they have no competing interests.  ...  This material is based upon work in part supported by the National Science Foundation under Grant Number EPS-IIA-1301726.  ...  2004-2007) Fig. 18 Democratic (left) and republican (right) communities during the housing bust (2008-2011) Table 1 1 US migration network characteristicsAverage of the number of nodes, edges, avrg degree  ... 
doi:10.1186/s40649-019-0061-6 fatcat:o2bges67tjd5nbbpjrk33sl74q

Inferring the Ideological Affliations of Political Committees via Financial Contributions Networks

Yiran Chen, Hanming Fang
2017 Social Science Research Network  
In this paper we propose and implement a novel Bayesian approach to infer about the ideological affiliations of political committees based on the network of the financial contributions among them.  ...  Using the posterior mode to categorize the ideological affiliations of the political committees, our estimates match the self reported ideology for 94.36% of those committees who self reported to be Democratic  ...  In the first specification, the network edge formation patterns and the network size imply a CH divergence of 1.0074, and we find that the misclassification rate is on average 1.10%.  ... 
doi:10.2139/ssrn.3090533 fatcat:gogyao6bnnh5zgblvdb24cpj64

Semi-supervised graph labelling reveals increasing partisanship in the United States Congress [article]

Max Glonek, Jonathan Tuke, Lewis Mitchell, Nigel Bean
2019 arXiv   pre-print
to social and political networks.  ...  Analysis of the 84 resultant political networks demonstrates strong and consistent performance of GLaSS when estimating labels for unlabelled nodes in graphs, and reveals a significant trend of increasing  ...  Acknowledgements MG acknolwedges the support received through the provision of scholarships by the University of Adelaide and Data to Decisions CRC.  ... 
arXiv:1904.01153v2 fatcat:pcwokuhj3zandonhhpdk7za52a

Hyperbolicity measures democracy in real-world networks

Michele Borassi, Alessandro Chessa, Guido Caldarelli
2015 Physical Review E  
a network with large hyperbolicity has a more "democratic" structure with a larger number of crucial elements.  ...  On the other hand, if the network is built in order to reach a "global" goal, as in metabolic networks or autonomous system networks, the influence area is much larger, and it can contain up to half the  ...  networks), and edges are created locally by nodes that try to reach the goal.  ... 
doi:10.1103/physreve.92.032812 pmid:26465533 fatcat:66qthvbbjbcyxbkyejvvcrdjgm
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